what the open source does not get back in a fair amount is money, not patches. The new startups movement, and the low costs of operations of many large IT companies, are based on the existence of so much open source code working well. Businesses should try to share a small fraction of the money they earn with the people that wrote the open source software that is a key factor for their success, and I think that a sane way to redistribute part of the money is by hiring those people to just write open source software (like VMware did with me), or to provide donations.
#UNESCO is looking for initiatives promoting women’s role in Free and Open Source Software
UNESCO’s Gender Equality in Free and Open Source Software (FOSS) community is looking for groups and initiatives that promote women’s role and representation in FOSS. This will allow building a comprehensive repository of FOSS Groups and Initiatives by and for Women and Girls.
(...) According to UNESCO’s Report on Gender Equality and Free and Open Source Software, globally less than 20 per cent of ICT developers and FOSS users are women. Furthermore, women’s entry level wages are only 17 per cent of men’s wages. Figures are especially worrying in FOSS. Only 2 per cent of professionals working in FOSS are women, compared to 28 per cent in proprietary software.
For this reason, UNESCO calls on FOSS communities to build a comprehensive list of FOSS Groups and Initiatives for Women and Girls. (...)
to raise awareness about the gender gaps in FOSS;
to give more visibility to women-led FOSS groups and activities, including their important role as models and mentors for women and girls interested in FOSS;
to highlight women’s representation and achievements in FOSS, and dedicated activities;
to provide a platform where different FOSS groups can create collaborative efforts, exchange information through relevant NGOs, associations, business, academia and the public sectors, and promote initiatives contributing to women’s participation and advancement in FOSS.
le rapport (non publié, mais que j’ai obtenu en écrivant à l’UNESCO) indique au contraire de ce qui est écrit ci-dessus que ce chiffre de 2% n’est pas du tout fiable. mais il ne propose pas de chiffre plus fiable — il s’agit d’envisager une nouvelle étude qui n’aurait pas les mêmes biais de sélection que FLOSS/POL.
a widely (and incorrectly) assumed average of 2% for FLOSS. This suggests that FLOSS is characterized by a certain composition and interactional dynamics that result in a gender-blind functioning.